Instructions to use StarRing2022/RWKV-4-Raven-3B-v11-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StarRing2022/RWKV-4-Raven-3B-v11-zh with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StarRing2022/RWKV-4-Raven-3B-v11-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from StarRing2022/RWKV-4-Raven-3B-v11-zh: direct link, hf CLI and curl.
- Browser
- Download file 5.97 GB
-
https://huggingface.co/StarRing2022/RWKV-4-Raven-3B-v11-zh/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://StarRing2022/RWKV-4-Raven-3B-v11-zh/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/StarRing2022/RWKV-4-Raven-3B-v11-zh/resolve/main/pytorch_model.bin
5.97 GB
- Xet hash:
- 92acecfef7c51018cfac21ef37027975867fd5612565046719c30f7bfe1dbe46
- Size of remote file:
- 5.97 GB
- SHA256:
- 376eedf23ce30050973ed1768e73811f80a02a64ae4f23d5e1d9860d7215120b
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